An overview and classification of research approaches in green wireless networks

Suárez, Luis; Nuaymi, Loutfi; Bonnin, Jean-Marie

doi:10.1186/1687-1499-2012-142

Cited by 105 publications

(63 citation statements)

References 40 publications

(80 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mechanisms that adapt the cellular layout to the traffic density distribution can be used to improve the energy efficiency of a cellular network, including heterogeneous cellular deployment, cell breathing and relay network [20]. The social characteristics of RBS can be used as adjusting factors or constraints in these approaches to wireless networks.…”

Section: Applications To Energy-efficient Wireless Networkmentioning

confidence: 99%

Modeling Mobile Cellular Networks Based on Social Characteristics

Yin

et al. 2016

INT J COMPUT COMMUN

View full text Add to dashboard Cite

Social characteristics have become an important aspect of cellular systems, particularly in next generation networks where cells are miniaturised and social effects can have considerable impacts on network operations. Traffic load demonstrates strong spatial and temporal fluctuations caused by users social activities. In this article, we introduce a new modelling method which integrates the social aspects of individual cells in modelling cellular networks. In the new method, entropy based social characteristics and time sequences of traffic fluctuations are defined as key measures, and jointly evaluated. Spectral clustering techniques can be extended and applied to categorise cells based on these key parameters. Based on the social characteristics respectively, we implement multi-dimensional clustering technologies, and categorize the base stations. Experimental studies are carried out to validate our proposed model, and the effectiveness of the model is confirmed through the consistency between measurements and model. In practice, our modelling method can be used for network planning and parameter dimensioning to facilitate cellular network design, deployments and operations.

show abstract

Section: Applications To Energy-efficient Wireless Networkmentioning

confidence: 99%

Modeling Mobile Cellular Networks Based on Social Characteristics

Yin

et al. 2016

INT J COMPUT COMMUN

View full text Add to dashboard Cite

show abstract

“…Some of them focus on decreasing cost by using low-cost components of wireless networks [12,13], by increasing utilization of equipment [14], or by decreasing energy consumption [15,16]. However, the complexity of the cost aspect has always been underestimated, e.g., in [17][18][19], the number of APs has been used to represent the network planning cost.…”

Section: Related Workmentioning

confidence: 99%

Wireless indoor network planning for advanced exposure and installation cost minimization

Liu

David

Vanhecke

et al. 2015

J Wireless Com Network

View full text Add to dashboard Cite

The possibility of having information access anytime and anywhere has caused a huge increase of the popularity of wireless networks. Requirements of users and owners have been ever-increasing. However, concerns about the potential health impact of exposure to radio frequency (RF) sources have arisen and are getting accounted for in wireless network planning. In addition to adequate coverage and reduced human exposure, the installation cost of the wireless network is also an important criterion in the planning process. In this paper, a hybrid algorithm is used to optimize indoor wireless network planning while satisfying three demands: maximum coverage, minimal full installation cost (cabling, cable gutters, drilling holes, labor, etc.), and minimal human exposure. For the first time, wireless indoor networks are being optimized based on these advanced and realistic conditions. The algorithm is investigated for three scenarios and for different configurations. The impact of different exposure requirements and cost scenarios is assessed.

show abstract

“…Note that energy efficiency actually covers the device side and network side. For cellular M2M, the network side energy efficiency [10,11] is not a principal constraint; hence, it is not within the scope of this article. Instead, MTC devices are usually battery-operated, transmit small data, and require a long battery lifetime [12].…”

Section: Introductionmentioning

confidence: 99%

Survey of radio resource management issues and proposals for energy-efficient cellular networks that will cover billions of machines

Song

Nuaymi

Lagrange

2016

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

A huge increase of machines attached to wireless networks is expected in the next few years. A large part of these machines will be covered by some wireless wide area networks. The arrival of cellular M2M (machine-to-machine) communication poses new requirements due to its specific characteristics. For most of the cellular M2M applications, the essential requirement is low energy consumption level or high energy efficiency. This survey provides a global view of the network technologies previewed for cellular M2M. In this survey, we study the existing classifications of M2M applications according to different criteria in the literature. The comparison of traffic characteristics between M2M and human-to-human is also proposed. Quality of service (QoS) requirements for typical M2M applications are resumed. The advance of reference M2M network architectures proposed by the Standard Development Organization (SDO) is investigated. We identify two possible effort directions to improve the energy efficiency for cellular M2M. The first one is to evolve the current existing 3rd Generation Partnership Project (3GPP) Consortium cellular networks to effectively support MTC (Machine Type Communication). The other direction is to design M2M-dedicated networks from scratch, which are often called low-power wide-area (LPWA) networks. We review, compare and categorize the proposals related to energy issues of cellular M2M mainly over the period 2011-2015 for the first direction. We introduce the development of LPWA networks for the other research directions. We highlight that the cooperative relaying, the design of energy-efficient signaling and operation, the new radio resource allocation schemes, and the energy-efficient random access procedure are the main points of improvement. It is important to jointly use the aforementioned approaches, for example, joint design of random access control and radio resource allocation, to seek for a trade-off between energy efficiency and other system performances.

show abstract

An overview and classification of research approaches in green wireless networks

Cited by 105 publications

References 40 publications

Modeling Mobile Cellular Networks Based on Social Characteristics

Modeling Mobile Cellular Networks Based on Social Characteristics

Wireless indoor network planning for advanced exposure and installation cost minimization

Survey of radio resource management issues and proposals for energy-efficient cellular networks that will cover billions of machines

Contact Info

Product

Resources

About